Peter Jan van Leeuwen

Orcid: 0000-0003-2325-5340

According to our database1, Peter Jan van Leeuwen authored at least 17 papers between 2003 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2005
2010
2015
2020
2025
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Links

On csauthors.net:

Bibliography

2025
Ensemble Kalman, adaptive Gaussian mixture, and particle flow filters for optimized earthquake occurrence estimation.
Comput. Geosci., 2025

2024
Uncertainty Quantification for Deep Learning.
CoRR, 2024

2022
Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model.
Frontiers Appl. Math. Stat., 2022

2021
Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter.
SIAM/ASA J. Uncertain. Quantification, 2021

On preconditioning the state formulation of incremental weak constraint 4D-Var.
CoRR, 2021

Randomised preconditioning for the forcing formulation of weak constraint 4D-Var.
CoRR, 2021

2020
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation.
Numer. Linear Algebra Appl., 2020

Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting.
J. Comput. Phys. X, 2020

A new Framework for Causal Discovery.
CoRR, 2020

2019
Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter.
J. Comput. Phys., 2019

Non-local Observations and Information Transfer in Data Assimilation.
Frontiers Appl. Math. Stat., 2019

Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter.
Proceedings of the Computational Science - ICCS 2019, 2019

Data-Driven Modeling for Wave-Propagation.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter.
CoRR, 2018

2014
Aspects of Particle Filtering in High-Dimensional Spaces.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
Efficient fully nonlinear data assimilation for geophysical fluid dynamics.
Comput. Geosci., 2013

2003
A parallel data assimilation model for oceanographic observations.
Concurr. Comput. Pract. Exp., 2003


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